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        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.


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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.7

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2019-11-26, 10:12 based on data in: /Users/allysondemerlis/OneDrive - University of Miami/Cnidimmunity Lab/Wound_Healing_Project/QC/Trimmomatic/trimmomatic_results


        General Statistics

        Showing 112/112 rows and 4/5 columns.
        Sample Name% Dups% GCLengthM Seqs
        0301C1_trimmed_pairedfwd
        45.2%
        46%
        101 bp
        8.4
        0301C1_trimmed_pairedrev
        44.7%
        46%
        101 bp
        8.4
        0301C1_trimmed_unpairedfwd
        21.5%
        47%
        94 bp
        0.5
        0301C1_trimmed_unpairedrev
        4.0%
        45%
        100 bp
        0.1
        0302C2_trimmed_pairedfwd
        38.3%
        48%
        101 bp
        11.4
        0302C2_trimmed_pairedrev
        37.9%
        48%
        101 bp
        11.4
        0302C2_trimmed_unpairedfwd
        18.1%
        49%
        92 bp
        0.6
        0302C2_trimmed_unpairedrev
        5.5%
        47%
        100 bp
        0.1
        0303C3_trimmed_pairedfwd
        31.8%
        49%
        101 bp
        9.7
        0303C3_trimmed_pairedrev
        31.9%
        49%
        101 bp
        9.7
        0303C3_trimmed_unpairedfwd
        13.1%
        50%
        90 bp
        0.7
        0303C3_trimmed_unpairedrev
        2.5%
        48%
        100 bp
        0.1
        0304X_trimmed_pairedfwd
        43.1%
        47%
        101 bp
        8.9
        0304X_trimmed_pairedrev
        43.3%
        47%
        101 bp
        8.9
        0304X_trimmed_unpairedfwd
        20.1%
        48%
        92 bp
        0.3
        0304X_trimmed_unpairedrev
        3.7%
        46%
        100 bp
        0.1
        0305Y_trimmed_pairedfwd
        38.6%
        49%
        101 bp
        9.6
        0305Y_trimmed_pairedrev
        39.1%
        49%
        101 bp
        9.6
        0305Y_trimmed_unpairedfwd
        20.7%
        50%
        91 bp
        0.5
        0305Y_trimmed_unpairedrev
        3.8%
        48%
        100 bp
        0.1
        0306Z_trimmed_pairedfwd
        45.3%
        48%
        101 bp
        8.5
        0306Z_trimmed_pairedrev
        45.7%
        48%
        101 bp
        8.5
        0306Z_trimmed_unpairedfwd
        37.1%
        51%
        89 bp
        1.0
        0306Z_trimmed_unpairedrev
        4.6%
        47%
        100 bp
        0.1
        1307C1_trimmed_pairedfwd
        43.5%
        45%
        101 bp
        6.8
        1307C1_trimmed_pairedrev
        40.7%
        45%
        101 bp
        6.8
        1307C1_trimmed_unpairedfwd
        28.9%
        45%
        100 bp
        1.3
        1307C1_trimmed_unpairedrev
        5.3%
        45%
        100 bp
        0.1
        1308C2_trimmed_pairedfwd
        43.3%
        43%
        101 bp
        6.4
        1308C2_trimmed_pairedrev
        40.8%
        43%
        101 bp
        6.4
        1308C2_trimmed_unpairedfwd
        42.4%
        44%
        87 bp
        2.5
        1308C2_trimmed_unpairedrev
        4.4%
        42%
        100 bp
        0.1
        1309C3_trimmed_pairedfwd
        39.0%
        47%
        101 bp
        11.4
        1309C3_trimmed_pairedrev
        38.1%
        47%
        101 bp
        11.4
        1309C3_trimmed_unpairedfwd
        17.1%
        48%
        94 bp
        1.1
        1309C3_trimmed_unpairedrev
        4.9%
        46%
        100 bp
        0.1
        1310X_trimmed_pairedfwd
        43.5%
        44%
        101 bp
        7.4
        1310X_trimmed_pairedrev
        43.0%
        44%
        101 bp
        7.4
        1310X_trimmed_unpairedfwd
        38.7%
        46%
        88 bp
        1.9
        1310X_trimmed_unpairedrev
        6.6%
        44%
        100 bp
        0.1
        1311Y_trimmed_pairedfwd
        34.5%
        46%
        101 bp
        5.4
        1311Y_trimmed_pairedrev
        34.2%
        46%
        101 bp
        5.4
        1311Y_trimmed_unpairedfwd
        34.0%
        47%
        87 bp
        2.6
        1311Y_trimmed_unpairedrev
        3.6%
        45%
        100 bp
        0.1
        1312Z_trimmed_pairedfwd
        34.9%
        46%
        101 bp
        7.5
        1312Z_trimmed_pairedrev
        33.8%
        46%
        101 bp
        7.5
        1312Z_trimmed_unpairedfwd
        24.6%
        48%
        89 bp
        2.0
        1312Z_trimmed_unpairedrev
        4.1%
        45%
        100 bp
        0.1
        2313C1_trimmed_pairedfwd
        40.1%
        43%
        101 bp
        7.3
        2313C1_trimmed_pairedrev
        32.9%
        43%
        101 bp
        7.3
        2313C1_trimmed_unpairedfwd
        12.3%
        43%
        93 bp
        0.3
        2313C1_trimmed_unpairedrev
        3.3%
        42%
        100 bp
        0.1
        2314C2_trimmed_pairedfwd
        43.4%
        44%
        101 bp
        10.4
        2314C2_trimmed_pairedrev
        37.3%
        44%
        101 bp
        10.4
        2314C2_trimmed_unpairedfwd
        15.2%
        44%
        92 bp
        0.5
        2314C2_trimmed_unpairedrev
        4.0%
        43%
        100 bp
        0.1
        2315C3_trimmed_pairedfwd
        37.5%
        43%
        101 bp
        7.4
        2315C3_trimmed_pairedrev
        31.3%
        43%
        101 bp
        7.4
        2315C3_trimmed_unpairedfwd
        10.7%
        44%
        91 bp
        0.3
        2315C3_trimmed_unpairedrev
        2.9%
        42%
        100 bp
        0.1
        2316X_trimmed_pairedfwd
        42.5%
        45%
        101 bp
        8.4
        2316X_trimmed_pairedrev
        38.9%
        45%
        101 bp
        8.4
        2316X_trimmed_unpairedfwd
        28.4%
        46%
        89 bp
        0.8
        2316X_trimmed_unpairedrev
        4.2%
        44%
        100 bp
        0.1
        2317Y_trimmed_pairedfwd
        42.4%
        46%
        101 bp
        11.4
        2317Y_trimmed_pairedrev
        38.0%
        45%
        101 bp
        11.4
        2317Y_trimmed_unpairedfwd
        14.2%
        46%
        92 bp
        0.4
        2317Y_trimmed_unpairedrev
        4.3%
        44%
        100 bp
        0.1
        2318Z_trimmed_pairedfwd
        40.9%
        45%
        101 bp
        11.6
        2318Z_trimmed_pairedrev
        35.1%
        45%
        101 bp
        11.6
        2318Z_trimmed_unpairedfwd
        12.3%
        46%
        92 bp
        0.5
        2318Z_trimmed_unpairedrev
        4.4%
        44%
        100 bp
        0.1
        4325C1_trimmed_pairedfwd
        46.0%
        44%
        101 bp
        11.7
        4325C1_trimmed_pairedrev
        42.5%
        44%
        101 bp
        11.7
        4325C1_trimmed_unpairedfwd
        22.7%
        45%
        93 bp
        1.1
        4325C1_trimmed_unpairedrev
        7.1%
        43%
        100 bp
        0.2
        4326C2_trimmed_pairedfwd
        41.3%
        47%
        101 bp
        12.8
        4326C2_trimmed_pairedrev
        38.7%
        47%
        101 bp
        12.8
        4326C2_trimmed_unpairedfwd
        13.9%
        48%
        97 bp
        0.8
        4326C2_trimmed_unpairedrev
        5.7%
        46%
        100 bp
        0.2
        4327C3_trimmed_pairedfwd
        44.6%
        46%
        101 bp
        8.5
        4327C3_trimmed_pairedrev
        41.9%
        46%
        101 bp
        8.5
        4327C3_trimmed_unpairedfwd
        21.4%
        47%
        94 bp
        0.5
        4327C3_trimmed_unpairedrev
        4.2%
        45%
        100 bp
        0.1
        4328X_trimmed_pairedfwd
        43.6%
        47%
        101 bp
        9.4
        4328X_trimmed_pairedrev
        41.3%
        47%
        101 bp
        9.4
        4328X_trimmed_unpairedfwd
        19.8%
        48%
        93 bp
        0.5
        4328X_trimmed_unpairedrev
        4.1%
        46%
        100 bp
        0.1
        4329Y_trimmed_pairedfwd
        55.3%
        47%
        101 bp
        10.5
        4329Y_trimmed_pairedrev
        53.5%
        47%
        101 bp
        10.5
        4329Y_trimmed_unpairedfwd
        41.6%
        49%
        94 bp
        0.9
        4329Y_trimmed_unpairedrev
        7.8%
        46%
        100 bp
        0.1
        4330Z_trimmed_pairedfwd
        45.5%
        48%
        101 bp
        9.3
        4330Z_trimmed_pairedrev
        43.1%
        48%
        101 bp
        9.3
        4330Z_trimmed_unpairedfwd
        23.3%
        49%
        95 bp
        0.6
        4330Z_trimmed_unpairedrev
        5.1%
        47%
        100 bp
        0.1
        5331C1_trimmed_pairedfwd
        45.8%
        46%
        150 bp
        5.1
        5331C1_trimmed_pairedrev
        44.5%
        46%
        149 bp
        5.1
        5331C1_trimmed_unpairedfwd
        35.8%
        48%
        122 bp
        2.1
        5331C1_trimmed_unpairedrev
        3.9%
        45%
        143 bp
        0.1
        5332C2_trimmed_pairedfwd
        44.8%
        48%
        150 bp
        6.8
        5332C2_trimmed_pairedrev
        43.4%
        47%
        150 bp
        6.8
        5332C2_trimmed_unpairedfwd
        45.3%
        50%
        121 bp
        6.0
        5332C2_trimmed_unpairedrev
        3.1%
        46%
        143 bp
        0.1
        5333C3_trimmed_pairedfwd
        38.3%
        45%
        150 bp
        3.8
        5333C3_trimmed_pairedrev
        37.5%
        45%
        149 bp
        3.8
        5333C3_trimmed_unpairedfwd
        37.2%
        48%
        123 bp
        2.7
        5333C3_trimmed_unpairedrev
        2.6%
        44%
        142 bp
        0.0
        5335Y_trimmed_pairedfwd
        37.3%
        46%
        150 bp
        5.9
        5335Y_trimmed_pairedrev
        35.9%
        46%
        150 bp
        5.9
        5335Y_trimmed_unpairedfwd
        39.2%
        48%
        121 bp
        5.3
        5335Y_trimmed_unpairedrev
        2.6%
        45%
        142 bp
        0.1

        FastQC

        FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

        Sequence Counts

        Sequence counts for each sample. Duplicate read counts are an estimate only.

        This plot show the total number of reads, broken down into unique and duplicate if possible (only more recent versions of FastQC give duplicate info).

        You can read more about duplicate calculation in the FastQC documentation. A small part has been copied here for convenience:

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Quality Histograms

        The mean quality value across each base position in the read.

        To enable multiple samples to be plotted on the same graph, only the mean quality scores are plotted (unlike the box plots seen in FastQC reports).

        Taken from the FastQC help:

        The y-axis on the graph shows the quality scores. The higher the score, the better the base call. The background of the graph divides the y axis into very good quality calls (green), calls of reasonable quality (orange), and calls of poor quality (red). The quality of calls on most platforms will degrade as the run progresses, so it is common to see base calls falling into the orange area towards the end of a read.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Sequence Quality Scores

        The number of reads with average quality scores. Shows if a subset of reads has poor quality.

        From the FastQC help:

        The per sequence quality score report allows you to see if a subset of your sequences have universally low quality values. It is often the case that a subset of sequences will have universally poor quality, however these should represent only a small percentage of the total sequences.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base Sequence Content

        The proportion of each base position for which each of the four normal DNA bases has been called.

        To enable multiple samples to be shown in a single plot, the base composition data is shown as a heatmap. The colours represent the balance between the four bases: an even distribution should give an even muddy brown colour. Hover over the plot to see the percentage of the four bases under the cursor.

        To see the data as a line plot, as in the original FastQC graph, click on a sample track.

        From the FastQC help:

        Per Base Sequence Content plots out the proportion of each base position in a file for which each of the four normal DNA bases has been called.

        In a random library you would expect that there would be little to no difference between the different bases of a sequence run, so the lines in this plot should run parallel with each other. The relative amount of each base should reflect the overall amount of these bases in your genome, but in any case they should not be hugely imbalanced from each other.

        It's worth noting that some types of library will always produce biased sequence composition, normally at the start of the read. Libraries produced by priming using random hexamers (including nearly all RNA-Seq libraries) and those which were fragmented using transposases inherit an intrinsic bias in the positions at which reads start. This bias does not concern an absolute sequence, but instead provides enrichement of a number of different K-mers at the 5' end of the reads. Whilst this is a true technical bias, it isn't something which can be corrected by trimming and in most cases doesn't seem to adversely affect the downstream analysis.

        Click a sample row to see a line plot for that dataset.
        Rollover for sample name
        Position: -
        %T: -
        %C: -
        %A: -
        %G: -

        Per Sequence GC Content

        The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content.

        From the FastQC help:

        This module measures the GC content across the whole length of each sequence in a file and compares it to a modelled normal distribution of GC content.

        In a normal random library you would expect to see a roughly normal distribution of GC content where the central peak corresponds to the overall GC content of the underlying genome. Since we don't know the the GC content of the genome the modal GC content is calculated from the observed data and used to build a reference distribution.

        An unusually shaped distribution could indicate a contaminated library or some other kinds of biased subset. A normal distribution which is shifted indicates some systematic bias which is independent of base position. If there is a systematic bias which creates a shifted normal distribution then this won't be flagged as an error by the module since it doesn't know what your genome's GC content should be.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base N Content

        The percentage of base calls at each position for which an N was called.

        From the FastQC help:

        If a sequencer is unable to make a base call with sufficient confidence then it will normally substitute an N rather than a conventional base call. This graph shows the percentage of base calls at each position for which an N was called.

        It's not unusual to see a very low proportion of Ns appearing in a sequence, especially nearer the end of a sequence. However, if this proportion rises above a few percent it suggests that the analysis pipeline was unable to interpret the data well enough to make valid base calls.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Length Distribution

        The distribution of fragment sizes (read lengths) found. See the FastQC help

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Duplication Levels

        The relative level of duplication found for every sequence.

        From the FastQC Help:

        In a diverse library most sequences will occur only once in the final set. A low level of duplication may indicate a very high level of coverage of the target sequence, but a high level of duplication is more likely to indicate some kind of enrichment bias (eg PCR over amplification). This graph shows the degree of duplication for every sequence in a library: the relative number of sequences with different degrees of duplication.

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        In a properly diverse library most sequences should fall into the far left of the plot in both the red and blue lines. A general level of enrichment, indicating broad oversequencing in the library will tend to flatten the lines, lowering the low end and generally raising other categories. More specific enrichments of subsets, or the presence of low complexity contaminants will tend to produce spikes towards the right of the plot.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Overrepresented sequences

        The total amount of overrepresented sequences found in each library.

        FastQC calculates and lists overrepresented sequences in FastQ files. It would not be possible to show this for all samples in a MultiQC report, so instead this plot shows the number of sequences categorized as over represented.

        Sometimes, a single sequence may account for a large number of reads in a dataset. To show this, the bars are split into two: the first shows the overrepresented reads that come from the single most common sequence. The second shows the total count from all remaining overrepresented sequences.

        From the FastQC Help:

        A normal high-throughput library will contain a diverse set of sequences, with no individual sequence making up a tiny fraction of the whole. Finding that a single sequence is very overrepresented in the set either means that it is highly biologically significant, or indicates that the library is contaminated, or not as diverse as you expected.

        FastQC lists all of the sequences which make up more than 0.1% of the total. To conserve memory only sequences which appear in the first 100,000 sequences are tracked to the end of the file. It is therefore possible that a sequence which is overrepresented but doesn't appear at the start of the file for some reason could be missed by this module.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Adapter Content

        The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position.

        Note that only samples with ≥ 0.1% adapter contamination are shown.

        There may be several lines per sample, as one is shown for each adapter detected in the file.

        From the FastQC Help:

        The plot shows a cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. Once a sequence has been seen in a read it is counted as being present right through to the end of the read so the percentages you see will only increase as the read length goes on.

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